Object detection inference with Roboflow Train models on NVIDIA Jetson devices.

HARNet: Towards On-Device Incremental Learning using Deep Ensembles on Constrained Devices for Human Activity Recognition

This repository contains the spreadsheet of the quantitative analysis performed for the paper "Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks".

This repository contains the code to create on-device machine learning models for species classification.

This project is simple training tensorflowlite on mobile device - android for braintumor classification

Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.

Custom core models with updatable layers for on device learning

Predict Gender in real time by showing your hand in your camera.